{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, os\n",
    "from __future__ import print_function\n",
    "from __future__ import absolute_import\n",
    "from __future__ import division\n",
    "sys.path.append('..')\n",
    "from pprint import pprint\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Database File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data from ../test/data/Crosswind_sweeps_monte_carlo_nightly_1531/overview_data.json.\n",
      "Done.\n",
      "Creating database ../test/data/1531/db.h5\n",
      "Done.\n"
     ]
    }
   ],
   "source": [
    "from data_import import BatchSimDataImporter\n",
    "data_importer = BatchSimDataImporter('../test/data/Crosswind_sweeps_monte_carlo_nightly_1531')\n",
    "data_importer.create_database('../test/data/1531/db.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Simulation Data Object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading file ../test/data/1531/db.h5\n",
      "Done.\n"
     ]
    }
   ],
   "source": [
    "from simdata import SimData\n",
    "simdata = SimData('../test/data/1531/db.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the Simulation Data Object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/joelbenito/makani/analysis/util/simdata_analysis/test/data/1531/db.h5\n"
     ]
    }
   ],
   "source": [
    "print(os.path.abspath(simdata.hdf_fn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'commit': '5de578adfaa060a620c159b6c8aa2e5b6c285995',\n",
      " 'date': '2018-10-26 08:23',\n",
      " 'seed': 12345,\n",
      " 'title': 'Crosswind Monte Carlo 2018-10-26 08:23 '}\n"
     ]
    }
   ],
   "source": [
    "pprint(simdata.get_metadata())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['-Crash- HoverFullLength Tether Height AGL Min. [m]',\n",
      " '-Crash- CrosswindNormal Tether Height AGL Min. [m]',\n",
      " '-Crash- Min Kite Height Above Ground Level [m]',\n",
      " '-Crash- Hover - Reel Tether Elevation [deg]',\n",
      " '-Crash- >20[m] CrosswindNormal Max. Tether Sphere Deviation (radius = 434 m) [m]']\n",
      "['Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 1, shear exponent = 0',\n",
      " 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 3, shear exponent = 0',\n",
      " 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 5, shear exponent = 0',\n",
      " 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0',\n",
      " 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 9, shear exponent = 0']\n"
     ]
    }
   ],
   "source": [
    "pprint(simdata.scorelist[0:5])\n",
    "pprint(simdata.tablelist[0:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "115\n"
     ]
    }
   ],
   "source": [
    "print(simdata.num_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore Scores and Tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score 'tether' has not been found. These are the closest:\n",
      "  1: 'TransIn Max Tether Tension [kN]'\n",
      "  2: 'Hover - Transform to Perch Min Tether Tension [kN]'\n",
      "  3: 'Hover - Perch to Transform Min Tether Tension [kN]'\n",
      "  4: '-Crash- HoverFullLength Tether Height AGL Min. [m]'\n",
      "  5: 'TransIn Rud % Saturated [% time]'\n",
      "Using 'TransIn Max Tether Tension [kN]'.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'TransIn Max Tether Tension [kN]'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simdata.find_score('tether') # See the top 5 scores containing 'tether'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score 'perch transform min tether tension' has not been found. These are the closest:\n",
      "  1: 'Hover - Perch to Transform Min Tether Tension [kN]'\n",
      "  2: 'Hover - Transform to Perch Min Tether Tension [kN]'\n",
      "  3: 'TransIn Max Tether Tension [kN]'\n",
      "  4: '>20[m] CrosswindNormal Min Tether Tension [kN]'\n",
      "  5: 'HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "Using 'Hover - Perch to Transform Min Tether Tension [kN]'.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'index': 33,\n",
       " 'name': 'Hover - Perch to Transform Min Tether Tension [kN]',\n",
       " 'severity': 4,\n",
       " 'units': '-'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simdata.get_score_info('perch transform min tether tension') # Eyeball the score name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Table 'AGL = 7 exponent = 0.1' has not been found. These are the closest:\n",
      "  1: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.1'\n",
      "  2: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 9, shear exponent = 0.1'\n",
      "  3: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.2'\n",
      "  4: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 5, shear exponent = 0.1'\n",
      "  5: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 3, shear exponent = 0.1'\n",
      "Using 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.1'.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'index': 11,\n",
       " 'numjobs': 49,\n",
       " 'title': 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.1'}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simdata.get_table_info('AGL = 7 exponent = 0.1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the VariableData Object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score 'perch transform min tether tension' has not been found. These are the closest:\n",
      "  1: 'Hover - Perch to Transform Min Tether Tension [kN]'\n",
      "  2: 'Hover - Transform to Perch Min Tether Tension [kN]'\n",
      "  3: 'TransIn Max Tether Tension [kN]'\n",
      "  4: '>20[m] CrosswindNormal Min Tether Tension [kN]'\n",
      "  5: 'HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "Using 'Hover - Perch to Transform Min Tether Tension [kN]'.\n",
      "Table 'AGL = 7 exponent = 0.1' has not been found. These are the closest:\n",
      "  1: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.1'\n",
      "  2: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 9, shear exponent = 0.1'\n",
      "  3: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.2'\n",
      "  4: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 5, shear exponent = 0.1'\n",
      "  5: 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 3, shear exponent = 0.1'\n",
      "Using 'Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.1'.\n"
     ]
    }
   ],
   "source": [
    "scoredata = simdata.get_var_data('perch transform min tether tension', 'AGL = 7 exponent = 0.1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable: Hover - Perch to Transform Min Tether Tension [kN]\n",
      "Variable index: 33\n",
      "Units: -\n",
      "Severity: 4\n",
      "Table: Monte Carlo Wind Speed [m/s] @ 21 [m] AGL = 7, shear exponent = 0.1\n",
      "Table index: 11\n",
      "Range (min, max): (-1.81080503111, 2.08606720865)\n",
      "Histogram: \n",
      "                           40.8 %\n",
      "-1.81: ####################\n",
      "-1.42: ############\n",
      "-1.03: ####\n",
      "-0.64: #####\n",
      "-0.25: ####\n",
      "0.14 : ##\n",
      "0.53 : #\n",
      "0.92 : \n",
      "1.31 : \n",
      "1.70 : #\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(scoredata) # Overloaded to show nice things about the score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9764e6a490>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the histogram\n",
    "hist_fig = scoredata.hist(bins=20)\n",
    "plt.axvline(x=1, color='k', linestyle='--') # Plot an additional line\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7a9v7Hnvo0slcNSuL6hY7//OfHX2P9/YUzciOZUY2KMDp9mINsZBgDekLPqnRoQBkxYXzwwvyjwhME9KieAwINSve/G4h4f16n4LMqm+c0qT0aN65Z9Exa8+MC+d75+cfc3tkaBDTMmMG1kBCHIcEMiHEERxuD3tq29lZ3UpxTRvfPS+PsGAzT35Uxp8+KAMgPSaM8alRzB4dR1pMYPT+HE5rTX2bg5L6dkrrOyita6e4ppVPy5q486yxARXGADZX2Nhd286thTnMz0kgNMjUNwHnhLQoNv/3uYQFmwmxHDqgGyA3OZJ/3jrvmMdOjgrlpoXHXjBe9fSGCTFSSSATIsA1tDuwhlgIDTLz1vYafvPObkrq2vvG0oRYTHxlZiZ5KZF8dWYmZ+cnk58aOSKvYjpdLo+X/Y2dlNa3d3/VdVBS305ZXTtt/ZYpCg82k5No5dbCHO46Z5yBFRsj2Gxi6aQUbivMIfKwz0eQ2STj5oQ4DglkQgSgNSUNrPh4L9uqWqhvc/C3G2Yzf2wC1hALqdGhnJWfxPjUKManRjE6IaJvPcMxiVbG+PEwl5YuV0/g6unx6glg5Y2dhwz2TokKJScpgksK0slJtHZ/JUWQEhV6RM9PIJmUHs0frp0x5K8r85AJfyCBTIgA0tDu4Hv/2MLqXfWkRIWyMDeR8amRZPdc+j5/bALzxyYYXKVveb2aAy1dfacYS/oFsIZ2R99+QWbF6IQI8pIjuWBSKjlJEeQkWhmdEHFE74+APbVthAaZZSyhEKdJApkQASQqNIj6dgf3Ls3n+nmjCA2A69zLGzt5eXNlXwAra2g/ZLHu6LAgxiZZOSs/sV9vl5XM2DCZwuMU/PKtXWyttLH23rOHfAHzwZyHTAijSCATIgD8e3Ml501IISLEwn/uODNgTqt1zwW2lppWO5mx4eQkRjAvJ56cpJ7glRhBXERwwLSHL7g9XkrrO1hdXMc3zxw95GEMYOXKldhstiF/XSEGkwQyIfzY2tJGHnl3N+v2NvGDJQ5uLcwJmPBhd3m48dmN2Dpd/OeOM5mUHm10SSNWh8NNeVMn+xs7qWjq5MIpqaTFhPHq51V856UtfePrLivIMLhSIUYuCWRC+KF1ZY385t3dfFrWRFJkCA98aQLXHWdZE3/i9WpK69v5zbu72VJh40/XzZAwdgJady/sXN7Uwf7GTs4YFUdmXDgf72ngrhc/P2RsHcCohAjSYsIYlxzJTQvHkB0fzvjUqL6FnoUQp04CmRB+6LHVJZTWd3D/RRO4enaWX48Va3dqVhfXsbm8mc0VNj4vt/VNRfGDJfmcPzHF4AqHB6fbS5Wti/KmTsYkRJAZF872Ay1856UtlDd10un09O37y8unkBkXTmpMKGfnJ5EVH052fDjZcRFkxYf3LeLceyWuEGLgfBrIlFJLgEcBM7BCa/3wYduzgaeBRKAJuFZrXenLmoTwRxv2NfG790v4+SWTyIgN55eXTyE2PNjvgpjL46W4uo3NFc1sLrexubyZfY2dwHpMCvJTovjytDSmZ8VSkBXDmESr0SUPqTa7i/2NncSEB5ERG05lcyc/+NdW9jd2csDW1beg9Y8vHM8NC8YQHRZERmwY83ISyIoLIzu+O3BlxHZP9JuTaOUXl08x8B0JETh8FsiUUmbgceBcoBJYr5R6TWu9o99uy4G/aq2fUUqdBTwEXOermoTwNyXNHp56ah0f7WkgwRrM3oYOMmLD/WbdxOqWLj4vt7G5ojt8ba1sweHuvkIyMTKEgqwYzoh3cVnhDCanR/etS+ivvF5NfbsDBSRFhWLrdHL/q9v5Yl8X93z0Dk0dTgC+fXYud587johgC+0ODwVZsVwyPZ2suHCy4yPITeoOqhmx4az4+hkGvqPBIfOQCX/gy59es4ASrXUZgFLqBWAZ0D+QTQDu6bm9GnjFh/UI4TdcHi+3PreRd3faiY/w8sML8rl2TnbfQscj2cubKnlnRy2by23UtNoBCLaYmJQWxbVzspmeFcP0rFjSorsnYS0qKmLOmHiDqx48DrcHu9NLdHgQDreHX7yxq29sV3lTJw63l+vnjeKBL08kLNjM5xU2rBY4Py+ZrLgIsuPDmdwzZi42IphXb59v8DsSQpwMpbU+8V6nc2ClLgeWaK1v6Ll/HTBba31Hv32eB9ZprR9VSl0K/AtI0Fo3Hnasm4CbAJKTk2esWLECqzWwTkUcrr29XdogwNvgL184iDK7uDA3ghCLf1w5+VmNm99/7iA+VJEbayInxkxOjImsSBOWY0yn4E+fg/2tHn76qZ3ZKRZunBKC1ppvr+4iKhiSwk0khSsSw03kRJsYFX3wdLQ/tcHpePHFF3E4HHzta18zuhRDBfrnoNdwa4fFixdv1FrPPNF+Rv85/V3gMaXU9cCHQBXgOXwnrfUTwBMAM2fO1FarNeAnACwqKpI2CLA26HS6uefFLdy2OIcpGTEUFvpXG1S3dPHtRz5iamYM/7xlLkEnOSmrP7XBA69tx2Qq58bzp1OYlwTAlkJ9wqlK/KkNTscDDzyAzWbj6aefNroUQwX656DXSG0HX05DXQVk9ruf0fNYH631Aa31pVrr6cCPeh6T2f2EOExLl4vrnvqMt3fUUFbfYXQ5g87r1XznpS24PF4e/eq0kw5j/sTj1azaVs3ivMS+MAYEzLxxQgQ6X/7UWw/kKqVGK6WCgSuB1/rvoJRKUEr11nAf3VdcCiH6aWx3cPWTn7K10sZjVxdw8fR0o0saVE0dTr73z62sKW3kJ1+awKiECKNLMsT6fU3UtTm4aEqa0aUIIQzgs1OWWmu3UuoO4C26p714Wmu9XSn1ILBBa/0aUAg8pJTSdJ+yvN1X9QgxEtW12bn6yXVUNHXyxNdmsrhfz8lIp7Xm+c/K+eWbu2h3uLllUQ5fmZl54if6qW2VLUQEmzl7vP/8HwshTp5Px5BprVcBqw577P5+t/8J/NOXNQgxkkWFBjEqPoKfXTzJr64kBHh9WzU/+vcXzB0Tz/8sm8i45MCe5f3GhWP46qxMv7hSVghx6uQ7X4hhxuPVPLNmH8umpRFvDWHF1094cc6I09ju4P5XtzMlI5pnvzULSwCOGetP6+6B+1GhQUaXMiLJPGTCH0ggE2IY8Xo1t/9tE29ur8Hj1dy4cIzRJfnET17bTpvdxa8unxPwYczp9vLdf2zBqzWPXV1gdDlCCIME9k9CIYaZx1eX8Ob2Gu5dms8NC0YbXc6ga7W7ePLDMlZurebOs3IDejFqt8fLPzZUcNb/FfHalgMkR4UaXdKItXz5cl588UWjyxBiQKSHTIhhomhXHb9+dzcXT0vj5oVj/Ga6g3aHm/d21vKfLdV8uLsep8fLGaNiuaUwx+jSDLPjQCt3PL+JsoYOJqVH8dNlkyjMSzS6rBFr5cqV2GwyY5IY2SSQCTHEvF5NXZuDKlsnlc1dnD8xhWCziYffKCYvOZL/vXTyiA9jXU4P7xfXsXLrAd4vrsPh9pISFcq1c7K5aGoq0zNjRvx7PFVer6ahw0FSZCjpsWEkWEP4wdJ8zpuQHHBtIYQ4kgQyIQaZx6upbbVTZeuisrmTs/KSiQ4P4tXPq/jNO7s5YLPj9Hj79n/rroXkpUTy12/NwuHyjtir7OwuD0W76lm59QDv7ayjy+UhwRrCV8/I5KIpaczMjsV0jOWP/JnWmvd21vHrd3bj1ZpVdy4gOiyIl26Za3RpQohhZGT+5BfCQG6Pl5pWO1XNXVQ2d7FgXAJJkaG8vb2Gn72+kwO2Ltzeg2vE/uOWuZwxKo64iGAmpUezZFIq6bFhZMSGkRkbRlZc90SoSZEjdwxRq93FZb9fw566duIigrmkIJ2LpqQye3Q85gAMYb0+KWngl2/tYkuFjay4cO46J9fokoQQw5QEMiFO0sd7GvjBv7ZS02rH0y9wPfX1mZw9PpR4awjTMmO4aEoqGbHh/UJXOAALchNZkOt/44S8Xs3dL3zO3oYOHrt6OksmpgT8lZMAb35RzS3PbSI9JoyHL53MZTMyAnJJKCHEyZFAJsRxeLyaNaUNzB0TT2JkCGeMiiUjNpyM2LCewBVOekwYADOyY5mRHWtwxUPvkXd3815xHT9dNjEgl/3xejUtXS4aO5w0dThxuD0syE1kcX4S9y3N5/r5owixmI0u06/JPGTCH0ggE+I4Pi1r5LqnPuMP1xSwdHIqj1w53eiSDKe1prS+nY/3NPBxSQPv7qzjKzMzuHZOttGl+ZTWmvKmTkrr2zkrPxmAu17YzH+2Vh/SYxoXEcym/z6XEIuZmxcF7pWkQohTI4FMiON49fMqrCEWFucH9vqCta12PinpDmCflDRQ2+oAIDs+nG/OH833l+T55ZWCOw60UrS7jk37bWwub6axw4nFpPjif84nNMjMmbmJpMeGER8RQlxEMHERwcRbg40uO+AsX76c0tJSCgsLjS5FiNMmgUyIY3C4PbzxRQ3nT0whNCiwTjm12V2sK2vqC2B76tqB7t6feTnxnDk2gfljE8iMCze40sGhtaaiqYtN5c1sLm/me0vysYZYeHN7Db99bw9jEiIozEuiIDuGgqxYgnvGgl0+I8PgygXIPGTCP0ggE+IYinbV02Z3s2ya/4+Lcrq9bC5v7usF21LZgserCQ0yMWt0PFfMzGD+2ATGp0T51dQVG/c386cPStlUbqOhvbvXLzzYzOUzMpmcEc3X52bzjXmjiI2QXi8hhG9JIBPiGN76ooYEa3ePkD8qqWujaFc9H5c0sK6siS6XB5OCqZkx3FaYw7ycBAqyY0b8gHStNVW2LjaV29i0v7sH7J7z8lg0LhGH28Pu2jYW5iYwPTuWgqwY8pIj+64SjbeGGFy9ECJQSCAT4ii01jx02WT2NnT45RQOH+yu5/o/f4bWkJMYwVd6esBmj4knOizI6PIG1S/e3MUfPygFICzIzNTMaHo7+eblJFD0vcUGVieEEN0kkAkBNLY7+GxvE2vLGvm0rJErZmRy48Ix5KdEGV3aoHN7vPxs5Q6y48J5/sY5pPVM2+GPnG4vRbvquHByKrcW5pCfEumXAVsIMfJJIBMBzeH2sOyxTyiuaQO6xw/NHBVHeqz/hpQX1lewp66dP103w6/DGECwxcTK/zoTh9tLRIj8uPNXMg+Z8AfyE0oEtBCLmelZsXxpahpzxsQzJSPar2dTb7O7+M07u5k1Oo7zJiQbXY5PldS1kxwVQmRokPSKCSGGPQlkIiA9+J8dBFtM3Ls0n4cunWx0OUPm90WlNHY4+cuFE/xu3rAOh5v9jZ1Ut3RR1+ZgxUdlRIUF8e/b5htdmvAxmYdM+AMJZCLgVNm6ePbTfXz1jEyjSxlSZfXtPPXRXi4tSGdyRrTR5Zwyp9tLla2LiqZOyps6qWjupLKpiyWJ3bPkP/lRGY+8u6dv/2CLiT9eON6ocsUQknnIhD+QQCYCzu9XlwBwa+FYgysZOlprfvLadkKCTNy3dHiHlJK6NrZUtFDR3ElFUxf3nDeO9Jgwnv10Pz9duaNvv2CzifTYMOZHdweypZNSyU2KJC0mlKSoUBKswSN+yg4hROCQQCYCSpWti5c2VHDFzMy+RcEDwaptNXy0p4H/+fJEEiOH79xa7Q43F/72YxxuL0pBcmQo187JIj0mjEXjEom+YiqZsWFkxYeTHBmKyaT6BnPnpUSSlxJp7BsQQojTJIFMBJTv/3MLCsVthYGz6HOVrYufrtzBhNQorpmdZXQ5x/Xxnnocbi+/v6aAs/KTDlmyamySlbFJVgOrE0II3/FpIFNKLQEeBczACq31w4dtzwKeAWJ69rlXa73KlzWJwOD1asqbOnmvuI5XP6/ir9+cRUx4MHeelUt4sIWMWP9Yg/FYOhxu3viihpc3VbK2rBGLSfH4NQXD/mrDtJgwrp6dxbkTkv36alchhDiczwKZUsoMPA6cC1QC65VSr2mtd/Tb7cfAS1rrPyilJgCrgFG+qkn4p+YOJ8EWExEhFtbva+Jnr+9kd00bXS4P0L0UUG2rg5jwYGaP8c9lkAAFQz7yAAAgAElEQVQ8Xs3a0kZe3lTJG1/U0OXykBUXzrfPzuXS6RlkxQ//EDolI4YpGTFGlyFGGJmHTPgDX/aQzQJKtNZlAEqpF4BlQP9ApoHeqdCjgQM+rEf4mb0tHu7/5WrKmzr5zVencsn0DCKCLYQHmblyVibjU6KYnhVDbrJ/jyvaXdvGvzZV8srmKmpbHUSGWrh4ejqXFaQzIzt2xExvUdNip7nTSX5K5IipWQghBosvA1k6UNHvfiUw+7B9HgDeVkr9FxABnOPDeoQfqW7p4tFNDiLCQvnhBflMTu/uVZmQFsXfb5pjcHVDY+P+Zn6ypov9b36I2aQoHJfI/RdlcPb4Q8dejRQvrq/gkfd2s+FH58ii3uKUyDxkwh8YPaj/KuAvWuv/U0rNBZ5VSk3SWnv776SUugm4CSA5OZn29vaA754O5DZwuDX/+5mdLreX706EDG8FlTsqqNxx4uf6izan5sefdGHCy9X5IcxJtRAV0gFNu/j0k11Gl3daXl3fxegoE9s2rD2l5wXy90KvQG+D5557Do/HE9BtAPI56DVS28GXgawK6D/zZkbPY/19C1gCoLVeq5QKBRKAuv47aa2fAJ4AmDlzprZarQH/l1BRUVHAtsHu2ja61q3j1qlBXPuls4wuZ8hprbnp2Y10ue38aHYYX//y2UaXNGAN7Q72vvUud58zjsLC3FN6biB/L/QK9DaIiYnBZrMFdBuAfA56jdR28OVlTOuBXKXUaKVUMHAl8Nph+5QDZwMopcYDoUC9D2sSI1RTh5PfvbcHt8fLuORIPvjeYqYlGd3Ba4znPyvnnR21fH9JHtlRI+/U5NG8X1yH1nBWfpLRpQghhCF89htNa+1WSt0BvEX3lBZPa623K6UeBDZorV8DvgM8qZS6m+4B/tdrrbWvahIjj93l4Zk1+3hsdQkdDjdzcuI5Y1QcYcH+EUROhcPtYcVHe3n0vT2cOTaBb84fzYcflhtd1oBprfnbunJyEiOYmBZ14icIIYQf8mkXQ8+cYqsOe+z+frd3ALLyrzhCu8PNz1/fyTs7amlod7A4L5EfXjDe76+YPJZPShr471e/oKy+g6WTUvjZxZMwmfzjSkSlFCu+NpN2h1uurhRCBKzAPOcjhh2n28v9r35BRIiF/75oAuFBZtaVNTJ7dBxXz85i/tgEo0s0RF2rnZ+9vpPXthwgKy6cP3/jDBbn+cdpPbvLw9/WlfO1udkkRoYM6yWdxPAm85AJfyCBTAwLD72xkxfWV3DTwjEAmEyKd+9Z5De9QKdjf2MHX/rdx9hdXr59di63FuaMyOksjqapw8kNz6xnc4WNsUlWFo1LNLokIYQwlAQyYbiVWw/w50/28Y35o/jhBeP7Hg/kMAbw8BvFuL2aVd9e4FdrOO5t6OBbf1lPpa2Lx68ukDAmBkzmIRP+QAKZMNSumjZ+8M+tFGTFcN/S8Sd+QoBYv6+JN76o4Z5zx/lVGHvywzJ+8WYxESEW/nbDbM4YFWd0ScIPrFy5EpvNZnQZQgyIBDJhqFa7i/AQC49fU0CwRRaThu6rDn/2+k6So0K4YcFoo8sZsLo2O8FmEzHhweSnRnLVrCxuXzyWlOhQo0sTQohhQ34DiiFXUtfOX9fuA+CMUXGs/m4hqdFhhtY0nPxnazVbKmx897w8woNH7t9Mje0O/nfVThb+cjWPry4BYEFuIj+9eJKEMSGEOMzI/WkvRhy3x8uKj/fy63d2Yw2xsGxqOtHhQVhD5GPYy+7y8Is3ihmfGsWlBRlGl3NaWjpdPPlRGX/+ZC9dLg8XT0vnmtnZRpclhBDDmvwmFD7ndHt55fMq/vRBKaX1HZw3IZmfXTKJ6PAgo0sbdp5Zs48qWxe/vHwK5hF6UcP3/7WFt7bXcuGUVO4+J5exSYE5d5wQQpwKCWTC5+ra7Nz38jbykiP547UFnD8xRSYAPYqmDiePrS5hcV7iiJ537Tvn5XHXOeMYnyqz7ouhIfOQCX8ggUz4XEZsOK/feSZ5yZESxI7jt+/tocPh5r4LRt7VpiV1bXznpS38/JLJTEqPNrocIYQYcSSQCZ96bcsBzhgVS36K9JYczuvVlDV0sKm8mc3lzfxjQyVXzspi3AhcHur1rTVsrWqR2faFIWQeMuEPJJAJn6lttfPtFzZz19nj+PY5uUaXY7g2u4vPK2xs2m9jU3kzn1fYaOlyARAZamFxfhLfOXecwVWenlXbqpmZHUtylFw9KYaezEMm/IEEMuEzb22vQWu4cEqK0aUMucN7vzbtt7G7rg2tQSnITbKydFIK07NiKMiKJSfROmJXJiipa2dXbRs/+dIEo0sRQogRSwKZ8JnXt1aTm2QNiKvsjtf7FRVqYVpWLEsnp1CQFcu0rBiiQv3nCtNV26oBWDop1eBKhBBi5JJAJnyivs3BZ/ua+K+z/O9UZXfvVzub9tvYXHHs3q+CrFgKsmMYkzBye79ORmZcGFfPzpLJXoUQYgAkkAmfWFvWiNZwweSRf7rS7vKwfl/TMXu/pmfFcsHkVAqyY5ia6V+9X8dT3+agqcPJJdMzuGT6yJzEVgghhgsJZGLQaa358tQ0pmfGkBE78pdEuuP5Tby7sw6lYFxSJBdMTmF6ZmD0fvX3zo5a1u9rYmd1Kzur22hodzA+NYo3vr3A6NJEgJN5yIQ/kEAmBo3d5eEH/9rK+NQoblmUQ2ZcuNElDVhLp4vVu+q5enYW9y7N9/ver+YOJzurW9nRE7psnU6euv4MAF74rJyP9jSQm2ylMC+R8alRTEqT6UyEEGIwSCATg+afGyt59fMDI3IerWP5cE89Hq/msoJ0vwtjFU2dbKtqYemk7pUTfvzKNp77tLxve2JkCONTo3B7vFjMJn51xVQiQy0EmU0GVi3EkWQeMuEPJJCJQfPGF9WMSYzgtsIco0sZNKt31RETHsS0zFijSxlUm8ubueKPa3F7NZ/98GySokI5Kz+JrLhwxqdGMT41igTroZO8xkUEG1StEMcn85AJfyCBTAyKxnYHa0sbua1wrN8sj+T1aj7YVc+icYkjdqHvY3lpQwVBZhP/vm1uX9A6Kz+Zs/KTDa5MCCECkwQyMSje3lGLV8NSP7iqstfWqhYaO5yclZ9kdCmDyu7ysHJrNUsmpTA5Q9adFEKI4UAGg4hBccaoOL6/JI8Jqf4zyPv94jpMChbmJhpdyqBaXVxHm93NJdPTjS5FCCFED+khE4NibJKVsUljjS5jUBXtqmN6ViyxfjZ2amJaNHefM455OfFGlyKEEKKHT3vIlFJLlFK7lFIlSql7j7L9N0qpz3u+diulZFTmCLR+XxNFu+rwerXRpQyaA7Yutla2sDjPv3rHALLiw/n2OblY5GpJ4SeKiop45JFHjC5DiAHxWQ+ZUsoMPA6cC1QC65VSr2mtd/Tuo7W+u9/+/wVM91U9wje2Vtq4/9XttDtcfPi9xUaXM2AN7Q6e+ngvz67dj8WkOH+i/4yJA/h4TwMuj5fCvES/ufhCCCH8gS9PWc4CSrTWZQBKqReAZcCOY+x/FfATH9YjBonL4+WNL2r4yyd72VRuwxpi4acXTxzRv+CrbF08+WEZf/+sHKfHywWTU7mtMIdcP5pTzePV/HzVTtw9gUwIfyHzkAl/oLT2zWkmpdTlwBKt9Q09968DZmut7zjKvtnAp0CG1tpzlO03ATcBJCcnz1ixYgVWq9UndY8U7e3tQ94GXq0xKUWHS3N3USexIYpzsoI4M8NCmGXow9hgtEFNh5fXy1ysOeAGYF6ahQtGB5FqHRmn806lDd4rd/HsDie3TAlhTpr/DB814nthuAn0NrjrrrvweDz87ne/M7oUQwX656DXcGuHxYsXb9RazzzRfsPlp/KVwD+PFsYAtNZPAE8AzJw5U1ut1oD/S6ioqGjI2sDW6eSnK3eyt6Gdf906D6UUuVPaGJto7DqOA2kDt8fLD/+9jX9urCTIbOK6uaO4ceEY0mNG1tqbJ9sGDe0O7iwqYl5OPD+4avaI7s083FB+LwxXgd4GMTEx2Gy2gG4DkM9Br5HaDr4MZFVAZr/7GT2PHc2VwO0+rEUMwNOf7OPlzZVcNycbh9tLaJB5xC+P9NOVO3hpQyXfOnM0tyzKITEy5MRPGsEeWlVMl8vDg8sm+VUYE0IIf+HLQLYeyFVKjaY7iF0JXH34TkqpfCAWWOvDWsQAVDZ1khoVyoPLJhldyqB4du0+nlm7nxsXjOZHF04wuhyfqW21o+hekzI/JZJR8bmMTRo+3fhCCCEO8lkg01q7lVJ3AG8BZuBprfV2pdSDwAat9Ws9u14JvKB9NZhNDNiBli7SRtipvMNprdlR3crb22t5bHUJZ+cnce/S8UaXNeha7S5e2VzFyi3VrN/fxO2FY/nu+XncuHCM0aUJIYQ4Dp+OIdNarwJWHfbY/Yfdf8CXNYiBq26xMyUjxugyTlmX08MnJQ28V1zH6uI6alrtACzITeDRq6b71fqUWmsee7+EJz8qo9XuJjfJyt3njOOiKalGlyaEzxUVFVFUVGR0GUIMyHAZ1C+GsZdunotnhEz6WtncyeriOt4rrmNNaSNOt5eIYDMLxyWyOD+JwrxEkiJDjS5z0Lh6/l+UUmyramHW6HjuPHvsiAzQQggRyCSQiRNKjhq+Acbj1Wwub+a94jre31nHrto2AEbFh3Pt7GzOyk9i1ug4gi0jYxqLU/Hh7nruWd3Jq5PbGZNo5bGrC/zyfQpxIjIPmfAHEsjEcVU0dfLq51VcWpAx7MaR7W3x8N3/fZeGdicWk+KMUXH8+MLxnJWfxJhE/x68rrXmZ6/vIDzo4GlXCWMiUK1cuRKbTVbeEyObBDJxXNsPtLD87d0U5iUNq0DW0unisc0OQkNDefzqAhaMSyAqNMjosoZM0a56dte2c+PkYL8Pn0IIEQgkkInjOmDrHgifGj18TltqrfnOP7Zgc2j++c3pTM+KNbqkIffEh2WkRIUyO1V6xYQQwh/IT3NxXNUtXYRYTMRFBBtdCtC9asDDbxTz7s5avpoXHJBhbHdtG2vLGvnmmaOw+NGVokIIEcikh0wc1wGbnbSYMENnd/d4NR+XNPDShgre2V6L0+Nl2bQ0zk0OzDEj45Ij+detc8lNjmTTpxVGlyOEEGIQSCATx3Wgpcuw05V7Gzr4x4YKXt5URU2rnZjwIK6alckVMzOZmBbFBx98YEhdRthT28aqbTXsb+rg11+ZxozsOKNLEmLYkHnIhD+QQCaO6283zKbd4R6y12t3uFm1tZqXNlSwYX8zJgULxyXy3xdN4JwJSYRYzENWi9G01vzxgzL+tamSkrp2lIIzRsVhd3kIDQqcdhBCiEAggUwcV3iwhfBg339MvF7Ngyt38OL6CrpcHsYkRPD9JXlcOj2DlGF0QcFQWlPayC/eLGZGdiwPLpvIkokpJA3jOeGEMIrMQyb8gQQycUwN7Q6e+LCMywoyyEuJ9OlrPbduP39Zs4+Lp6Vx3dxsCrJiDR23NhxMSo/msaunszgviYgQ+VYV4lhkHjLhD+QqS3FMexs6eOLDsr41IH2loqmTh98oZkFuAr/5avf4qEAPYwDRYUFcNCVNwpgQQgQACWTimA7YugBI8+EpQ6019728DQU8fNkUCWI9mjqcPPlhGXU+DsNCCCGGBwlk4pj6JoX10Qz9dW12fvLadj4uaeC+C8aTPoxWAjDaR3vq+fmqnVS3SCATQohAIOdCxDFVt3QRFWrBOsinzCqaOnniwzJe3FCB2+PlyjMyuXpW1qC+xkj30Z4GosOCmJQebXQpQgghhoAEMnFMNS32QV2/ck9tG38oKuXVLQcwKbisIIObF+UwOiFi0F7DH2it+XhPA2eOTcAsM/ELcUIyD5nwBxLIxDH98doZtA3CHGRbKmw8vrqEt3fUEhZk5vp5o7hhwWhSo+UU5dGU1LVT02rnzNwEo0sRQggxRCSQiWMymRTRYUEDOsbu2jYu/cMarCEW7jw7l+vnjRo262IOV1srWwA4c6wEMiFOhsxDJvyBBDJxVKuL61i5tZpr52QNaAHvt7fX4PFq3rprYcBO8HqqLpuRQWFeIvHWEKNLEWJEkHnIhD+QqyzFEdaVNXLLcxvZVdtKTpJ1QMcq2lXP5PRoCWMnqaPnFLGEMSGECCwSyMQhth9o4VvPbCAjNoxnvjGLqNDTP2Vp63SyqbyZxXmJg1ih/3J7vFzy+0/4+es7jC5FCCHEEJNAJg7xpw/KsJgVz90we8C9NB/tacCrYVFe0iBV59/+sbGS3bXtzMg+/VPEQgghRiYZQyYOUd7UyZzR8YNyBWTRrnpiwoOYlhkzCJX5L7vLw+ZyG79+Zzczs2M5f2KK0SUJIYQYYhLIxCH+fds8ulyeAR/H69V8sLueBbmJMpfWYRxuD5+X25iRHYvFbOLhN4r5y5p9hAaZ+NGF42X5KCFOkcxDJvyBTwOZUmoJ8ChgBlZorR8+yj5fAR4ANLBFa321L2sSx6eUIjx44B+LHdWtNLQ7KBwn48ccbg9bKlr4tKyRT8sa2bi/GYfby6u3z2dqZgxfmZnJmWMTOGN03ICnGRFCCDEy+SyQKaXMwOPAuUAlsF4p9ZrWeke/fXKB+4D5WutmpZQMNjLQ8+vK2bCviV9dMXXAvVqri+sAWBSAA/qdbi/bqmykRoeRFhPG6uI6bnluE0rB+JQorpmdzZwxcX1XsE5Ii2JCWpTBVQsxcsk8ZMIf+LKHbBZQorUuA1BKvQAsA/pfQnYj8LjWuhlAa13nw3rECbxfXEdZffuAw1hNi53nPytnamYMCQEwfYPb42VL5cEesA37mulyebh3aT63LMphbk4Cf7puBrNHxxETLpPiCjHYZB4y4Q+U1to3B1bqcmCJ1vqGnvvXAbO11nf02+cVYDcwn+7Tmg9ord88yrFuAm4CSE5OnrFixQqs1oHNjzXStbe3D3ob3LW6k/HxJm6ecvpzhnW6NA99Zqe+08u9s0IZFW0exAoP5Ys2OBlur2ZfqxeAsTFm2p2a/3q/Ew1kWBX5cWbGx5vJizVjDfbteDCj2mA4kTaQNrjrrrvweDz87ne/M7oUQwX656DXcGuHxYsXb9RazzzRfkYP6rcAuUAhkAF8qJSarLU+5E8drfUTwBMAM2fO1FarNeC7pouKiga1DWpa7NjefI/zZuRROH/0aR3D6fZy/Z8/o7qji6evn8VCH48fG+w2OJ4tFTbWlPb2gDXR4fSwaFwiN1w8C4DIUfVMSosa8gldh7INhitpA2mDmJgYbDZbQLcByOeg10htB18Gsiogs9/9jJ7H+qsE1mmtXcBepdRuugPaeh/WJY5iS2V3Bp6ScfpTVLy5vYY1pY388rIpPg9jQ+2+l7exo7qV3CQrlxZkMGdMPLPHxPVtX+Rn71cIIcTQ8mUgWw/kKqVG0x3ErgQOv4LyFeAq4M9KqQRgHFDmw5rEMdhdHrLjw5k4gMHln+xpICrUwmUzMgaxsuHhV1dMISkylMRI/x8TJ4QQYuj5LJBprd1KqTuAt+geH/a01nq7UupBYIPW+rWebecppXYAHuB7WutGX9Ukjm3ZtHSWTUsf0DE+KW1gzph4v5p3bHN5MxaTiUnpUTI/mBDDlMxDJvyBT8eQaa1XAasOe+z+frc1cE/PlzCQ1npAgaO8sZPK5i5uXDBmEKsy3vK3d3HAZuf97ywyuhQhhBB+TNayDHAtnS7u/Ptm5jz0HuvKTr9z8pPSBgDmj40frNIM19juYG1pIxdMTpHeMSGGseXLl/Piiy8aXYYQA2L0VZbCQOv3NXHH85toaHdy66KcAS1qvaa0kaTIEHISh8+lxgP11vZavBoumJxqdClCiOOQeciEP5BAFsD+5z/bsZhM/Pu2eQO6ulJrzdrSBhbkJvpVT9KqbdWMig9nQqrMoi+EEMK35JRlgKqydfFFVSvXzc0eUBgD2FXbRkO7k3k5/nO6ssPhZsP+Ji6YnOpXIVMIIcTwJD1kASo+Ipg/XTeDyenRAz7WJyXdY8/mjU0Y8LGGA601ESEW1t13Dm6v1+hyhBBCBADpIQtQoUFmzp+YQlpM2ICO4/Z4eXdHLaPiw0kf4LGMprXmuU/3c/vzm9BaEx0eNOQz7wshhAhMEsgCUEuni9++t4fqlq4BHWdvQweX/3Eta8sauWJm5omfMIy1dLq47W+b+PErX9Bmd9Pp9BhdkhDiJBUVFfHII48YXYYQAyKnLAPQ+7tq+fU7u1k4LpHU6FPv1dJa8/fPKvjpyh0EmRW/vWo6X56a5oNKh8bG/c3c+ffN1LbauW9pPjcuGIPJjya3FUIIMfxJIAtAb2+vJTkqhCmnMX6svs3Bvf/aynvFdcwfG8/yK6aeVqgbLrqcHm5+dgOhQWb+cctcpmed/tQfQghjLF++nNLS0hG5oLQQvSSQBZhOp5sPdtdzaUH6KfcCvb29hntf3kaHw81PvjSBr88dNSJ7kjxezeriOuaPTSAs2MwTX5vJ2CQrUaFBRpcmhDgNMg+Z8AcSyAKIrdPJ0kc/otPp4aIpJ3+KsdPp5n9e28GLGyqYmBbFI1+dRm5ypA8r9Y26Vjsvrq/g75+Vc6DFzq+/MpVLCzIokF4xIYQQBpNA5uecbi+by5uZPSaemPBglk1LZ0FuAnPGnPycYX9du58XN1RwW2EOd50zjmDLyLoWpKXLxX0vb+Xt7bW4vZoFuQnc/6WJnD0+yejShBBCCEACmV+raOrk6hWfUm2z8+H3F5MWE8a9S/NP+Thl9e0kR4Xw/SWn/lyj2DqdFNe0MWdMPJEhFmpa7HzzzNFcPSuLUQkRRpcnhBBCHEICmR97aUMFB2x2VnxtJqnRoad9nCpb14DnKxsKWms2V9h47tP9rNxaTXiwmXU/PJsQi5l/3TpPZtwXQggxbEkg82PvF9cxIyuWxfkDOzV3wGZnQtrwXs/xw931PPRGMTurW4kINvOVmRlcPSubEIsZQMKYEH6sqKiIoqIio8sQYkAkkPmpmhY72w+08oMBnmbUWlNl6+LcCcmDVNngcXk1WutDwtbPL5nEsmnpWEPkoy2EEGLkkN9afqqpw8msUXEDHrje2OHE6faSNoBTnr7y1+1OXqrcyJ+uncGC3AQW5J4pPWFCBCCZh0z4AwlkfmpCWhQv3TJ3wMc5YOteXik9NnzAxxpMb35RzUdVbm4fZx2Rc6EJIQaPzEMm/MHImr9AnBSn20ur3TUox6pq7g5kaTHDp4esttXOvS9vY1SUiW+fPc7ocoQQQogBO24gU0r9pd/tr/u8GjEo1pQ2UPDgO2zc3zzgY1X19pAZdJWlx6vZ29BBS2d3wFxb2siyxz7B7vJw85SQETcnmhBCCHE0JzplObXf7W8Dz/iwFjFIVhfXYTErJg7ClZEHbHbCg81Ehw3tskIHbF08v66cF9aX09DuZPkVU7l8Rgbx1mCmZkZz1awsqN4xpDUJIYQQvnKiQKaHpAoxYFpr1pQ28s+Nlby+rZqFuQmEBpkHfNwDPXOQDdVg+U6nmwde286/NlXh1Zqz85M4b0IKc8bEATAuOZI/XTcTgCIJZEIIIfzEiQJZhlLqt4Dqd7uP1vpOn1UmTklpfQc/f30nFc2dXD4jgzsWjx2U4x5o6RrS05WhFjNl9R18bW4235w/msy44XUxgRBi+JF5yIQ/OFEg+16/2xtO9eBKqSXAo4AZWKG1fviw7dcDvwKqeh56TGu94lRfR8DYJCsv3TIXi0kNSs9Yr6rmLiamRQ/a8Y5mc3kzD71RzO+vKSDBGsKLN8/FLFdOCiGECCDHDWRa69MeM6aUMgOPA+cClcB6pdRrWuvDzzO9qLW+43RfR3Sv22gxmwZ9MlS7y0Njh5N0H11h2eX08Ot3dvHUx3tJiQrlgK2LBGuIhDEhxCmReciEPzjhJWpKqa8rpTYppTp6vjYopb52EseeBZRorcu01k7gBWDZQAsWR3ryozLm/O97dDjcg3rc3jnIfLGO5bqyRpY++iFPfrSXq2Zl8dbdC5mSETPoryOE8H8rV65k7dq1RpchxIAct0ulZ6qLu4B7gE10jyUrAH6llNJa62eP8/R0oKLf/Upg9lH2u0wptRDYDdytta44yj7iGLxezSubDzAjO5aIQe4hO2CzA74JZI+tLsGr4fkbZzMvJ2HQjy+EEEKMJCf6DX4rcInWel+/x95XSl1Gd4/X8QLZyfgP8HettUMpdTPd02qcdfhOSqmbgJsAkpOTaW9vD/gBnL1tsKvJQ5XNzoVZ3kFvkw8qu+f+qijegr18YPN9ebVmc52HUVEm4sNMXJ6hCc0GZ8UXFJ1mBJfPgbQBSBuAtIHNZsPj8QR0G4B8DnqN1HY4USCLOiyMAaC13qeUOtEkV1VAZr/7GRwcvN97nMZ+d1cAvzzagbTWTwBPAMycOVNbrdaAHytQVFREYWEhb728lfDgA9x1eSHhwYPbQ7bpnd2o7Xu4+PxCgsynH8he3lTJ46tLKK13cO2cLH62dPKg1NfbBoFM2kDaAKQNYmJisNlsAd0GIJ+DXiO1HU70W7brNLcBrAdylVKjlVLBwJXAa/13UEql9rv7ZWDnCY4p+nG6vby+tZrzJ6YMehiD7jFkyZGhAwpja0sbueelLQRbzPz2quk88KWJg1ihEEII4R9O9Ft8vFJq61EeV8CY4z1Ra+1WSt0BvEX3tBdPa623K6UeBDZorV8D7lRKfRlwA03A9af6BgKZxaT48zfOwBrim1n0uyeFHdgVlq9vO0BYkJmXb51HWPDgTcchhBC9ZB4y4Q9OZumkZA4dnA/dpyJrTnRwrfUqYNVhj93f7/Z9wH0nVak4gsmkmJEd57PjH7B1MSl9YHOQhQWZuXh6moQxIYQQ4jhOdC7qN0CL1np//y+gpWebMIjWml+9VcwXVS0+Ob7L4+VAi5302IFdYfmjCyfw0KVTBqkqIYQ40vLly3nxxRUOcNYAACAASURBVBeNLkOIATlRD1my1nrb4Q9qrbcppUb5pCJxUsrbvDy+ppTs+IgB92Idze9Xl+J0e5kzOv60j1Hf5iDBGjxk62AKIQLTypUrsdlsRpchxICcqIfseDN1Dt0Ch+IIm+s8KAVn5ScN+rG3Vbbwu/f3sGxaGotP8/her+bC337E/a9uH+TqhBBCCP9zokC2QSl14+EPKqVuADb6piRxMjbXeZiRFUuCNWRQj2t3ebjnpc+Jtwbz4JcnnfZxNpU3U9fmYOao2EGsTgghhPBPJzpleRfwb6XUNRwMYDOBYOASXxYmjq3K1sX+Vi9XzU8e9GM/+WEZe+raeeabs4gOP/2rN1/fVk2wxeSTHjwhhBDC35xocfFaYJ5SajHQ213yutb6fZ9XJo5pd00bIWY4d8LgB7L3d9UxIzuWReMST/sY+xs7+Ptn5Zw/MYXIUN9MySGEEEL4k5OaTVRrvfr/27vv+Diqe+/jn58ly0VyL3LvBRfAgAvFgABTQgg1uRASAgmEQEJCckMSnie53FxubhpO4tyEPAktlFAcCMVxDKbYAowLNuCCu+VuS3KR1Syr7Z7njx3BWnW9u7Orlb7v10svz8zOnvnt2bH18zlnzgEW+xyLNME5x/s7injxw3387JrJXHBSf/5wYVdG98uK63UqqmtZt7eE289rdoq5Fv1h0TY6dujAjy+fEKfIRESapnnIpC2I//TuEjeVNQH+uWY/f31vJxvyS+nZtSO3nDOCCQO7k5EW/ycXP9pdTG3QMX1kbHOb/fdVk/ni9GEM6BHbpLIiIiLthRKyVmprYRk3PLScw0erGZedxS+uPZmrpwz2dYLVFTuK6GBwxvDoBuKXVNSQkd6BLhlpUZchInKiZs+eTV5eXkquXyhSRwlZKzWybyYXntSfq08bzNmj+yRkLq/3dxxm0qAeUY/7emXNPh5dsoNX7z7Xl7U1RUQao3nIpC2IftVo8cWyvMPsLz5GeloHHvjCqZwzpm9CkrGq2gAf7S6OqbtyydZDBIKOLh21TJKIiMiJUELWiuw+XME3nlrFvS82WBzBd+v2llBVG4w6IasNBFm2/TAzE5RAioiItCVKyFqRH7+8Dgf87KroJ2SN1oodRQBMGxFdQrZuXwlllbXMHNs3nmGJiIi0C0rIWoltB8p4d+sh7jh/NMP6dE349d/fUcS47Cx6Z2ZE9f4lWw8BcPZoJWQiIiInSiOvW4mnlu0iI60DN0wbmvBr1waCfLDrCFefNijqMqYM68m3LxwTdUInIhItzUMmbYESslaiqjbIVVMG0SfOa1O2pDYQ5J7n11BeVUvOuOiXOTp3bD/OHRv97P4iIiLtmRKyVuKX152Ccy6h16yuDfKdZz/itfUF/ODS8cyKcimmPUUVVNUGGd0vUwP6RSThNA+ZtAUaQ5Zkzjl2HDoKkPBk5icvr+O19QX85+cm8q0LxkRdzpPLdnL579+lsiYYv+BERCI0f/58li1bluwwRGKihCzJVu8p5oLZuby1sTCh191cUMbzH+zl9vNG8dVzRkZdzqJNhbz44T7OGN7L11UERERE2jJ1WSbZun0lAEwa1COh1/3N65vJykjnmzmjo3r/4fIq7ntlPf9al8+Y/ln8xxUT4xyhiIhI+6GELMk2F5TRvXM62d0TN5h/zZ5iXt9QyPdmjaNn1+ieilyzt5g3Nxby/YvH8Y3zR5ORrsZWERGRaCkhS7IthWWMH9AtoePHZr++mV5dO/K1mSNO+L1bCssYl92NC0/KZsmPLqRft8Q+FSoiItIWqVkjiZxzbCksZ1x2t4RcLxB0/PaNLby79RB35ow+oUXEK2sC/OiFtXzm9+/ysdfNqmRMRFqD3Nxc5syZk+wwRGKiFrIkCgQdP7h0PGP6Z/l+rcPlVXx37mre3XqIa08bzC1nRz6Q/2BZFbc+sZK1e0u464IxTBjY3cdIRURE2h9fEzIzuwz4PZAGPOKc+2UT510HvABMc86t8jOm1iQ9rQNfPnO479f5YNcR7nrmQw4freYX157MDdOGnlAX6VPLd/HxvhL+ctMZXDppgI+RioicOM1DJm2BbwmZmaUBDwIXA3uBlWY2zzm3od553YC7gRV+xdJa7Th0lEAwyOh+Wb6MIXPO8df3dvLzBRsZ2LMzL955NpMHn/jTnHuLKhjYo4uSMRFplebPn09xcXGywxCJiZ9jyKYD25xz251z1cBzwFWNnPffwK+ASh9jaZX+tHgbNzy0wrcB/a9vKOT++RvIGd+f+XedG1UyBvDZUwZy14XRTxwrIiIizfOzy3IwsCdsfy8wI/wEMzsdGOqc+5eZ/aCpgszsduB2gOzsbMrLy9vEQrKrth2jfyei+iyR1MHf1lXRNR2+OLSMj95/L7ogCfU3DwRyc7dHXYYf2sp9EAvVgeoAVAfFxcUEAoF2XQeg+6BOqtZD0gb1m1kH4LfALS2d65x7CHgIYOrUqS4rKyvlxwoEg47CRQu5ftpQcnImnfD7c3Nzm60D5xw/WvoWORP6ctGFZ0QdZyDo2Jhfysi+mWR2al3PgLRUB+2B6kB1AKqDnj17Ulxc3K7rAHQf1EnVevCzy3IfMDRsf4h3rE43YDKQa2Y7gTOBeWY21ceYWo19xceoqA74NuXFlsJyCkurOG9sv5jKKSyt5Io/LOGV1fvjFJmIiIjU52eTx0pgrJmNJJSI3QDcWPeic64E6Fu3b2a5wD3t5SnLzQVlAL4lZO9uPQjAeeNiS8j2Fx8DYFDPzjHHJCLih9zc3JTsohIJ51sLmXOuFrgLWAhsBP7unFtvZveb2ZV+XTdVnDK0B7+/YQonDfAnIXt7y0HG9M9iUM8uMZWzz0vIhvSKrRwRERFpmq+DgpxzC4AF9Y7d18S5OX7G0tr079aZq6YM9qXsypoA7+8o4kszYp/jbN8nLWRKyESkddI8ZNIWaOmkJFi9p5h///tqagNBX8pfsaOIqtog543r2/LJLdh35Bi9unaka0brGtAvIlJn/vz5LFu2LNlhiMREv2UT7J9r9nPP82vo160TB8qqfGl5emfLQTLSOzBjZJ+Yy7pqymBOH9YrDlGJiIhIU5SQJYhzjt+/tZU5b25l6vBe/OWmM+iTFf/FuQ+VV/HqunxmjOxNl4y0mMubPrI300f2jkNkIiIi0hR1WSbIfa+sZ86bW7n29ME8/fUZviVjNz68nKKKar5z0diYy3POsXz7YQ6VV8UhOhEREWmKErIE+ewpA/nRZSfxmy+cSqf02Fuu6is6Ws2NDy9nd1EFj90yjWkjYm/VKjlWww0PLeflj/a1fLKIiIhETV2WCXLmqD6cOSr2MV1N+eOibWw/eJQnb53O2aNjH8wPnz5hOVhPWIpIK6Z5yKQtUAuZz559fzc3PbqCo1W1vl2jsibAPz7cy6WTB8QtGYPQE5YAgzUHmYiIiK+UkPls4foC9hRV+LoO5IJ1+ZQcq+FL04fFtVzNQSYiqWD27NnMnTs32WGIxERdlj46Vh1gWd5hbpwR30SpvmdW7GZk30zOGh3fLtF9R47RKb0DfTIz4lquiEg8zZ8/n+Li4mSHIRITJWQ+Wr79MFW1QS4Y39+3a2wpLGPVriP838tPwsziWva1pw/h1KE9416uiIiIHE8JmY8WbTpAl45pvs7j9cyK3WSkdeC604fEveyJg7ozcVD3uJcrIiIix9MYMh8N79OVG2cMo3PH+E9zAVBeVfvJYH4/5jVbtKmQPUUVcS9XREREjqeEzEe3nTuK/7hiom/lP718F2WVtdw6c2Tcy95x6Chfe3wVr6zWHGQiIiJ+U5elT7YdKGNo766+TAILUB1wPLxsBzPH9GXK0J5xLTsQdNzz/Bq6d07n82cMjWvZIiLxpnnIpC1QC5kPAkHHzY+t5O5nV/t2jXf31XKovIpvXTAm7mU/umQ7H+w6wn9dNYkBPTrHvXwRERE5nhIyH7y5sZB9xce4+rRBvpRfEwiyYHsNpw/ryZmj4vvAwLYDZcx+fQsXT8zm6imD41q2iIgfNA+ZtAXqsvTBE0t3MqhHZ2ZNyI572eVVtcx5YwuHKx0PXDgm7lNSFB2t4eopg/jBpfGfRkNExA+ah0zaAiVkcbalsIyleYf54WXjSU+LXwNkeVUtTyzdycPvbqe4ooYzB6b5Mr/Z9JG9fZ2mQ0RERBpSQhZnL320j4z0DtwwLT6z8x+tquWJZTt5+J3tHKmo4cKT+vPdWWMp2rY67i1YpZU1HCqrYmTfTLWOiYiIJJASsji755LxXHHKQHrHuNzQ0apanly2i4feyeNIRQ0XjO/H3bPGffJEZe62eER7vMWbDnD3c6uZ/+2ZTB7cI/4XEBERkUYpIYujypoAnTumMWlQbMnMnqIKrv1/SzlYVsX54/rx3VljOW1YrzhF2bT3dxSR1SmdCQM1O7+IiEgiKSGLkw37S/nSI8v5f18+gzNHxbbI988XbKS8spYX7jiLqSMSN55r5c4izhjei7QO6q4UkdShecikLdC0F3HgnOO/528AYMKA2FqXluYd4tWPC/jWBaMTmowdOVrNlsJyDegXERFJAiVkcfDWxgMs236Y784aR4+uHaMupzYQ5L/mbWBIry7cdu6oOEbYspU7iwCUkIlIytE8ZNIW+JqQmdllZrbZzLaZ2b2NvH6Hma0zs9VmtsTM/Fv40UdvbSqkR5eO3Dgjticrn31/N5sLy/jJZyf4tiB5U04b1osHPn8KpwzRYH4RSS3z589n2bJlyQ5DJCa+JWRmlgY8CHwGmAh8sZGE6xnn3MnOuSnAr4Hf+hWPnw6VVzOwR2c6xjDvWE0gyIOL85g+sjeXThoQx+gi069bJ74wdahva2+KiIhI0/wc1D8d2Oac2w5gZs8BVwEb6k5wzpWGnZ8JOB/j8c3Xzx1FeVVNTGUsWJdPQWklv7j25ITPAVZYWskbGwq5ZGI2/btr7UoREZFE8zMhGwzsCdvfC8yof5KZfQv4dyADuLCxgszsduB2gOzsbMrLy1vdEzUdgNyCjVG91znH75ZVMiDTcPnryS3Y0OJ74lUHpVWOX608xsEKhzuYx9BuqTOssDXeB4mmOlAdgOqguLiYQCDQrusAdB/USdV6SPq0F865B4EHzexG4CfAzY2c8xDwEMDUqVNdVlYWOTk5CY2zOW9vOciY/lkM7tklqve/v6OInQuX8T/XTObCGcMjek9ubm7MdVB0tJobH17OoUrj8a9N5+wxfWMqL9HiUQepTnWgOgDVQc+ePSkuLm7XdQC6D+qkaj342RyyDxgatj/EO9aU54CrfYzHF8eqA9z82Pu8/FFzH615jy7ZTs+uHbn2tCFxjKxl35u7mh2HjvLozdNSLhkTEamTm5vLnDlzkh2GSEz8TMhWAmPNbKSZZQA3APPCTzCzsWG7nwW2+hiPLw4frQKgb1Z0SyXtKarg9Q2FfGnGMLpkJG5A/e7DFSzNO8T3LxnHzLFKxkRERJLJty5L51ytmd0FLATSgMecc+vN7H5glXNuHnCXmc0CaoAjNNJd2dodLq8GoE9mp6jev2TbIZyD605PbOvYsD5dWfT9HPpmRRe3iEhrMXv2bPLy8lKym0qkjq9jyJxzC4AF9Y7dF7Z9t5/XT4RD5aEWsj5RtpCt3VtCt87pjOybGc+wmlVeVUtWp3SG9u6asGuKiPhl/vz5FBcXJzsMkZikziN1rVRdC1m0LU3r9hVzypAeCZvqwjnHlx5ZwY9eWJuQ64mIiEjLlJDF6OwxffjjjafRv/uJJ2SVNQE2F5Rx8uCePkTW0NJth/j8n5exZk8xpw1LzDVFRESkZUmf9iLVDenVlSG9ouv621xQRk3AcarPyxUdOVrNPc+v4a1NBxjQvTP/c81krp82tOU3ioiISEIoIYvRh7uPAHD6sF4n/N61+0oAONnnhKwmEGRTQRk/vnwCN501POHrZIqIiEjzlJDF6Levb6G8qpaXv3XOCb937Z5iemdmRD2hbKT6d+/MonvO1zqVItIm5ebmpuTM7CLhNIYsRofKq2IY0F/CyYP9G9D/8DvbuWzOO1TVBpSMiYiItGJKyGJ0+Gh1VJPCHqsOsKWwzNfxY2v3lVBWWatkTETatNmzZzN37txkhyESE3VZxiAYdBQdrY5qDrIN+SUEHZw8xL+nHTfmlzJhYHffyhcRaQ00D5m0BWohi0HJsRoCQRfVLP1r94YG9J/iUwtZZU2A7QfLmTCwmy/li4iISPyohSwGXTLSePyr0xjdL+uE37tubwnZ3TuR3b2zD5HBlsIygg61kImIiKQAJWQx6NwxjZzx/U/4fR/uPsLrGwo518dFvTuYcfHEbE4e7O+UGiIiIhI7dVnGYNfhoyxcX8Cx6kDE71m5s4ibHllBn6wMfnLFRN9imzy4Bw9/ZarWqxQREUkBSshikLv5IN946gOOVtdGdP7SvEN85dH3ye7Rmb9/4yxf5x+rrIk8SRQRSWW5ubnMmTMn2WGIxEQJWQwOl1fRwaBX15afsnxny0G++teVDO3dhbm3n+Xb2DEILSA+4+dv8avXNvl2DREREYkfJWQxOFheTe/MDNI6ND+x66JNhdz2xCpG9cvi2a+fSb9u0U0kG6n9JZWUHKthkM8rAIiItAaah0zaAg3qj8Hh8qoWp7worqjm2898xPgB3Xjq1un0jKA1LVYb95cCMFFTXohIO6B5yKQtUAtZDA5HMCns40t3crQ6wOwvnJqQZAxCE8ICjB+gKS9ERERSgVrIYvBfV04i6FyTr5dX1fLX93Zy8cRsxg9IXGvVxoJShvXuSlYnfb0iIiKpQL+xYzC5hTm+nl2xm5JjNXwzZ3RC4qmorqVrRjo54/tzxvDeCbmmiIiIxE5dllGqrg3ywgd72XnoaKOvV9YEePjd7Zwzpg+nDevlezwvfbSXa/+0FOcc/zZ1KLfOHOn7NUVERCQ+lJBFae+RCu55fg3v7yhq9PV/fLiXA2VVfCtnjO+xVNUG+PVrmwGoDTbdhSoi0hZpHjJpC5SQRWnJtkMATBvZsGuwNhDkL29vZ8rQnpw1uo/vscxduYf8kkp+/NkJdEzTVyoiIpJq9Ns7SrmbDzK8T1dG9s1s8Nq/1uWzu6iCb+aMxqz5OcpiVVkT4MHF25g2ohczx/i3NqaISGulecikLfA1ITOzy8xss5ltM7N7G3n9381sg5mtNbO3zGy4n/HES2VNgKV5h8gZ16/Ba8Gg40+L8xiXncWsCdm+x/L3VXsoLK3iexeP8z35ExFpjebPn8+yZcuSHYZITHx7ytLM0oAHgYuBvcBKM5vnnNsQdtpHwFTnXIWZ3Qn8Grjer5jiZe3eEiprguSM79/gtbc2HWBzYRlzrp9ChxZm8I+H604fQmZGOmePVuuYiIhIqvKzhWw6sM05t905Vw08B1wVfoJzbrFzrsLbXQ4M8TGeuJk+sjfv3Xthg/FhwaDjj4u3MbR3F644ZaBv16+oruWZjVXsPlxBZqd0rjsjJapNREREmuBnQjYY2BO2v9c71pRbgVd9jCeuBvfsQueOaccd+/M7eazZU8y3LxxLug+D651zzF+7n1m/eZvXd9Xy9taDcb+GiIiIJF6rmBjWzL4MTAXOb+L124HbAbKzsykvLyc3NzdxAYY5UBFk7uZqrhmTwZBunyZdm4oCPPB+JdMHpNGvbBu5uXlxve7esiBPb6xiY1GQYd068L2THUMrd5CbuyOu10klybwPWgvVgeoAVAfFxcUEAoF2XQeg+6BOqtaDnwnZPmBo2P4Q79hxzGwW8GPgfOdcVWMFOeceAh4CmDp1qsvKyiInJyfuAUfiiaU7+aBwPb+5aQYjvCcsD5RV8oP/XcLIvpk8dudMX5Ys+uELa8ivLOS/r57IjdOH8e47byetDlqL3Nxc1YHqQHWA6mD16tXtvg5A90GdVK0HPxOylcBYMxtJKBG7Abgx/AQzOw34C3CZc+6Aj7HEzdK8Qwzr3fWTZAzg4Xe2U1xRzVO3To9bMhYMOp7/YA+TBvVg8uAe3PuZCfyfz0ygV2ZiFigXERGRxPEtIXPO1ZrZXcBCIA14zDm33szuB1Y55+YBDwBZwPPelA27nXNX+hVTPGzML+PkIcevYbnrcAUj+2Zy0oDucbnGwbIqbntyFWv2FHPzWcOZPLgHvZWIiYg0avbs2eTl5aVkq4hIHV/HkDnnFgAL6h27L2x7lp/Xj7ejVbXsLqrgC/WeaiworWRAjy5xuUZlTYDbn1rF5oJSfnf9qVw9pbnnIEREZP78+RQXFyc7DJGYaKb+E3CgrIrR/TKZOOj4lrD9xZUM6tE55vKdc/zwhbV8tLuY3/3bFK45bYgmexUREWkHWsVTlqliZN9M3vp+znHHqmuDHCqvYkAcErKK6gAFpZX84NLxfOZk/+YxExERkdZFCVmMCksrARgUhy7LzE7pPH3bDNITMMO/iIiItB7qsjwBd/7tA342f8Nxx/JLQglZrC1kf1+5hz1FFXRM66BuShERkXZGCVmEnHMs2XaIytrAccfzS44BMDCGhGxrYRn3vriWx5fujCVEEZF2KTc3lzlz5iQ7DJGYKCGL0P6SSsoqaxlfb2qLAq+FbGDP6Lssf71wM5kZ6XzrgjExxSgiIiKpSQlZhDbllwIwYUC3447nl1TSrVN61BPCrt9fwhsbCrkjZ7TmGhMRicLs2bOZO3dussMQiYkG9UdoU0EZAOMaJGTHYho/9v6OIgA+X29uMxERiYzmIZO2QC1kEerVNYNZE7Lp3rnjcccLSipj6q6srAkyul8m/bt1ijVEERERSVFqIYvQjTOGceOMYQ2O7y+pjGnJpDtzRnNnzuhYQhMREZEUpxayCASDjmDQNTgez0lhRUREpP1SQhaBTQVlnPzThby79eBxxw+UVeIcDOoZXUL28b4SLpvzDmv3auyDiIhIe6YuywjsKz7G0epAg/Fjn04KG90YsrV7S9hUUEbPLnq6UkQkWrm5ueTm5iY7DJGYqIUsAgVNTP5al5BFu7D4+v0ldOucztDesS+7JCIiIqlLCVkECkorSetg9Mk6/knIukQt2jFkH+8vZdKg7loqSUQkBpqHTNoCdVlGoKCkiuxunUirt+h3fkklWZ3S6VavKzMStYEgm/JLuenM4fEKU0SkXdI8ZNIWKCGLwClDetC3W8NxXvnFlVGvYVlWWcu5Y/sxfWTvWMMTERGRFKeELAI3nz2i0eP5pZVRd1f2yszgkZunxhCViIiItBUaQxaBmkCw0eMFJceibiFrqkwRERFpf5SQtaCssoZxP3mVJ5buPO54TSDIgbIqBp7glBe1gSBvbijkot+8zR1PfRDHSEVERCRVqcuyBYWloclfe3Y9fuD+rsMVOAeDI1zHsqCkkudW7mbuyj3kl1TSr1snrj19sB8hi4i0K5qHTNoCJWQt+GTy1+7Hd03mbj4AwFmj+0RUzlPLd/Lg4jzOHduX//zcRC6akE3HNDVQioiIiBKyFhV4CVn9rsk3NxZy0oBuDO3dtcn3/nPNfgb26MzUEb255eyRXD91GMP6NH2+iIicuNmzZ5OXl0dOTk6yQxGJmhKyFhSWhhKy/t0/nRS2pKKGlTuPcMf5o5p830Pv5PHzBZv43KmDmDqiN/26dWryXBERiZ7mIZO2wNc+MzO7zMw2m9k2M7u3kdfPM7MPzazWzD7vZyzRGpfdjS+fOYzOHdM+OZa75QCBoOOiCdmNvmfX4aP85vUtzJqQze/+7dREhSoiIiIpyrcWMjNLAx4ELgb2AivNbJ5zbkPYabuBW4B7/IojVpdMGsAlkwYcd+zNjQfom5XBlCE9G5zvnOM/XllPx7QO/OzqyaRrnJiIiIi0wM9sYTqwzTm33TlXDTwHXBV+gnNup3NuLdBqJ+Uqr6rFOffJfk0gSO7mA1x4Un86dGi4BuUbGwp5Z8tBvn/JuKgnjRUREZH2xc8xZIOBPWH7e4EZ0RRkZrcDtwNkZ2dTXl6esEecv7PoKFOz0/nKpNAYsA2HA5RV1jIgcLDRGDoEHbdMymB49U5yc3f5Flci66C1Uh2oDkB1AKqD4uJiAoFAu64D0H1QJ1XrISUG9TvnHgIeApg6darLyspKyNM0VbUBSl97jVPHjyInZywAb/9zPRnpu7njmhy6ZhxffdW1QTLSOzDL98hC8+609yeKVAeqA1AdgOpg9erV7b4OQPdBnVStBz+7LPcBQ8P2h3jHUsaB0ioABvQItY4Fg46FHxdw7pi+DZKxD3Yd4fwHFrN+f0nC4xQREZHU5mdCthIYa2YjzSwDuAGY5+P14q5uyosB3hxkq/cWs7+kkstPHnjceTWBID9+aR0GjOiTmegwRUTatdmzZzN37txkhyESE9+6LJ1ztWZ2F7AQSAMec86tN7P7gVXOuXlmNg14CegFfM7M/ss5N8mvmE5UQenxs/QvWJtPxzRj1sTjp7t4evkuNhWU8fBXppLZKSV6gUVE2gzNQyZtga/Zg3NuAbCg3rH7wrZXEurKbJWG9e7KLWePYFDPzjjnePXjAs4d248eXY5f13Jp3mFG9cvk4omNz0smIiIi0hw15zTjlCE9OcWba2z1nmL2FR/jexePa3DelsIyJg3qkejwREREpI1QQtaMw+VVZHVOp1N6GgvWhborL25kdv6ffHYi3eu1momIiIhESglZE6pqA1z5x/cY1S+TJ782nX+tzeecMX3p0bVh4lV/TJmIiIjIidC6Pk14bMlO9hUf49aZI9mYX8a+4mNcPnlgg/O2FpaxdNshagOtdrEBEZE2LTc3lzlz5iQ7DJGYKCFrREFJJX9YtJVZE7LJGd+fj725xaaN7N3g3Lkr93DL4ysxa7iMkoiIiEgklJA14ucLNlIbdNx3xUQANuaX0qVjGsN6d21w7ubCMsb2zyKtkXUtRUTEf5qHTNoCjSGrp7yqlo/3l3DHeaMY1ieUgG3KL2P8gG6N+nbqiQAAEUJJREFUJl1bCss4Z0zfRIcpIiIezUMmbYESsnqyOqXz2t3nEXQOAOccmwpKuWzygAbnFldUU1haxfjsbokOU0RERNoQJWSNyEj/tCe3sLSKIxU1nDSge4PzNheUATBugBIyERERiZ4SshZsLCgFYMLAhgnZ5ME9eObrMzQprIiIiMRECVkLNuaHErLxjbSCZXZK5+zRGj8mIiIisVFC1oJN+WUM7tmlwfqVAM+v2sPwPplMb2Q6DBERSYzc3Fxyc3OTHYZITDTtRQs25pcyYWDD1jHnHD/710ZeXr0vCVGJiIhIW6KErBmVNQG2Hzra6ID+JdsOUXKshgka0C8iklSah0zaAnVZNmPbgXICQddgQP/G/FK++bcPGZ/djatOG5yk6EREBDQPmbQNaiFrRt2A/pPCuiyLK6r56l9Xktkpnb9+dRrdOzccWyYiIiJyItRC1oxNBWV07tiBEX0yPznWo0tHbp05knPG9GVQzy5JjE5ERETaCiVkTSipqGHx5gOMzz5+ySQz4+vnjUpiZCIiItLWqMuyESUVNXz50RXsLTrG9y4e98nxnYeO8uDibRwsq0pidCIiItLWqIWsnrpkbHNBGX++6XRyxvf/5LXczQd4YOFmrjx1UBIjFBGRcJqHTNoCtZDVszTvEJsLQ8nYhSdlH/faih1FDO7ZhaG9uyYpOhEREWmL1EJWz2dOHshpw3oxoEfn444Hg44VO4q4IKzFTEREkm/27Nnk5eWRk5OT7FBEoqaErBH1kzGArQfKKTpazYxRWiZJRKQ10Txk0hb42mVpZpeZ2WYz22Zm9zbyeiczm+u9vsLMRvgZTyw2FZRiBmeN6pPsUERERKSN8a2FzMzSgAeBi4G9wEozm+ec2xB22q3AEefcGDO7AfgVcL1fMcXiqimDueCk/nTrpEZFERERiS8/W8imA9ucc9udc9XAc8BV9c65CnjC234BuMjMjFaqe+eOtOLwREREJEX52dwzGNgTtr8XmNHUOc65WjMrAfoAh3yMq0W/eHUjf1u265P9o9UBRvfL5A9fPJ2JgxouNC4iIiISi5TofzOz24Hbvd3yCy644DAJTtp2AZPuSeQVW9SXJCeurYDqQHUAqgNQHQD0NbN2XwfoPoDWVw/DIznJz4RsHzA0bH+Id6yxc/aaWTrQAzhcvyDn3EPAQ3X7ZrbKOTc17hGnENWB6gBUB6A6ANUBqA5AdVAnVevBzzFkK4GxZjbSzDKAG4B59c6ZB9zsbX8eWOSccz7GJCIiItLq+NZC5o0JuwtYCKQBjznn1pvZ/cAq59w84FHgKTPbBhQRStpERERE2hVfx5A55xYAC+oduy9suxL4QhRFP9TyKW2e6kB1AKoDUB2A6gBUB6A6qJOS9WDqIRQRERFJLi0uLiIiIpJkKZGQmdkDZrbJzNaa2Utm1rOJ85pdqimVmdkXzGy9mQXNrMmnR8xsp5mtM7PVZrYqkTH67QTqoC3fB73N7A0z2+r92auJ8wLePbDazOo/TJOS2tJSbNGKoA5uMbODYd/9bcmI009m9piZHTCzj5t43czsf706Wmtmpyc6Rr9FUAc5ZlYSdh/c19h5qcrMhprZYjPb4P1OuLuRc1LvPnDOtfof4BIg3dv+FfCrRs5JA/KAUUAGsAaYmOzY41gHE4DxQC4wtZnzdgJ9kx1vsuqgHdwHvwbu9bbvbezvgvdaebJjjfPnbvF7Bb4J/NnbvgGYm+y4k1AHtwB/THasPtfDecDpwMdNvH458CpgwJnAimTHnIQ6yAHmJztOHz//QOB0b7sbsKWRvwspdx+kRAuZc+5151ytt7uc0Jxm9UWyVFPKcs5tdM5tTnYcyRRhHbTp+4Djlxt7Arg6ibEkUptbii0Kbf3ejohz7h1CT+U35SrgSReyHOhpZgMTE11iRFAHbZpzLt8596G3XQZsJLTyT7iUuw9SIiGr52uEst76Gluqqf4X1B444HUz+8Bb4aC9aev3QbZzLt/bLgCymzivs5mtMrPlZtYWkrZIvtfjlmID6pZiaysivbev87poXjCzoY283ta19X8DInWWma0xs1fNbFKyg/GLNzThNGBFvZdS7j5oNUsnmdmbwIBGXvqxc+4V75wfA7XA04mMLVEiqYMIzHTO7TOz/sAbZrbJ+99USohTHaS05uogfMc558ysqcekh3v3wShgkZmtc87lxTtWaXX+CTzrnKsys28QajG8MMkxSeJ9SOjfgHIzuxx4GRib5JjizsyygH8A33XOlSY7nli1moTMOTerudfN7BbgCuAi53UQ1xPJUk2tWkt1EGEZ+7w/D5jZS4S6OVImIYtDHbTp+8DMCs1soHMu32t+P9BEGXX3wXYzyyX0P8hUTsjithRbCmuxDpxz4Z/3EUJjDtublP83IFbhyYlzboGZ/cnM+jrnWtP6jjExs46EkrGnnXMvNnJKyt0HKdFlaWaXAT8ErnTOVTRxWiRLNbVpZpZpZt3qtgk9DNHoUzhtWFu/D8KXG7sZaNBqaGa9zKyTt90XOAfYkLAI/aGl2CKog3pjZK4kNLamvZkHfMV7yu5MoCSsm79dMLMBdeMnzWw6od/1beY/J95nexTY6Jz7bROnpd59kOynCiL5AbYR6gte7f3UPUk1CFgQdt7lhJ62yCPUxZX02ONYB9cQ6gOvAgqBhfXrgNDTV2u8n/XtsQ7awX3QB3gL2Aq8CfT2jk8FHvG2zwbWeffBOuDWZMcdp8/e4HsF7if0HzWAzsDz3r8X7wOjkh1zEurgF97f/TXAYuCkZMfsQx08C+QDNd6/B7cCdwB3eK8b8KBXR+to5qn0VP2JoA7uCrsPlgNnJzvmOH/+mYTGS68NywsuT/X7QDP1i4iIiCRZSnRZioiIiLRlSshEREREkkwJmYiIiEiSKSETERERSTIlZCIiIiJJpoRMREREJMmUkIl4zKy83v4tZvbHZMUTzsx+amb7zGy1mX1sZlfGqdyd3uSxzZ0zxVt+JdIyL/XiXG1m5Wa22dt+MvaIm7xmFzNb5F3n835dx7vWXjNbXO/Yx2a22tueYWa/O4HyVnlx7zazg2F11+Q6lGZ2jzc5LGbW2cziMgO7mU0Nu/4RM9vubS+IR/neNa43s+/EoZzJZnbUzJaG7S9v5LwrzMyZ2QVhx3LNbKq3/ZKZFXsTkIskTatZOkmkvTGzdBdaBDtSv3POzTazCcC7ZtbfORf04Tr1TSE08WxEv5SdcwuBhd61c4F7nHOrfIgr3BlAtXNuSqRviPH6Pc1skHNuv5mdTGiNXQCccytouNBxk5xzdYnBbcBk59x3I3jbPcCfgeoTC7uh8Hrwvqcp3vHngL855+bHeo1wzrm5cSxunXPu7AjO2wP8hNBkufXjucbMXohjTCJRUQuZSATMbITXArPWzN4ys2Fm1sPMdplZB++cTDPbY2YdzWy0mb1mZh+Y2btmdpJ3zuNm9mczW0GU6ww65zYSSgD6mlk/M/uHma30fs7xrvNTM3vKzN4DnjKzNDOb7bXkrDWzb4cV+W0z+9DM1tXFGfa5MwjNBH+911JyvZn1NrOXvXKWm9kpJ1CPt3nvXQwsNLPuXr1+6JV3hXfeGC/WR81svZm9amadvde+Z2YbvPP/ZmaDgMeBs7wYR5jZJd72OjN7OKw1aa+Z/dLMPgKuMbMlZvZbr5Vqg9dC9JKZbTWznzbzUZ4H/s3b/iKhmdPrPuMsM3vZ2/6Z9xne9lqbvhVpXXnvv8Kr44/M7FkLtQT+gNCKDUvNbGHYuQ94dfKeea2eFlpC52Xv3lhhoWV08OrgcQu1Lj16AvHcZ2bve/X6I+/YZO/7e9Krw39aaJ1BzOxHYd/Vo96xu8zsl972WDN7x3v9NTMb4B1/wcx+Z2bLzCzPzD57gvU2wfv+6+7NpUBnCy2hI9I6JXupAP3op7X8AAE+XYZjNbAb+KP32j+Bm73trwEve9uvABd429fz6fJFbwFjve0ZhNZVhFDiMB9IO8HYfkqopamuvP2ElgZ5BpjpHR9GaG23uvM/ALp4+3cCLwDp3n7dkks7gW9729+si7/etW+pqwdv/w/Af3rbFwKrm4k7l7AlS4DbgF1AL2+/I9Dd2+4PbPW2xxBaFuZkb/9F4AZvOx/I8LZ7en/OCvtOuhJaTma0t/80cJe3vRf497B4lgD/421/33s9m9AyTPvryq/3mfYCY4El3v4aYHJdPdSL5WfAu0CG9/kON/Xde3UzJ2x/gFd/dd/hfwI/9LYLgCxvuzOhZWQu9vb/N+xe+QcwzdseBaz1tn8JLAM6NfPdPQdcEbZ/LaFWWoA0YBFwuvfZq/CWaSLUknq1d85+Pr3n6r6ru4BfetuLgeu87e8QapGD0L36uLc9nUbuMe+6y+vvA6cAHwETvONXeJ/lcuBfTdyXLwCXJerfGv3op7EfdVmKfOqYC+vyMrNbCHXVAZxF6BcSwFN82ro1l1AitpjQYs9/MrMsQutJPm+h9X0BOoVd53nnXCCK+L5nZl8GyoDrnXPOzGYBE8Ou0927PsA859wxb3sWoTVg67qmisLKfdH784Owz9icmcB1XjmLzKyPmXV3zpVG+Dled84d8bYN+KWZzQSCwFD7dEzbNufcurDYRnjb64G/mdkrwMuNlD8B2OKcy/P2nyS01l/deMD6XWZ1C3SvI9QFVgih8XXAEKC4kWscBI6a2Q2EErLKZj7vfOdcNXDAzIqAfoQSqpbMBCYCy7zvN4NQItGYcufcG972B8A0b/siYHTY/dGnrrWQUNJYFUEcdS4BLrZPx2J1A8YTqrcNzrlNYdcf4ZwLmNl24Ekzm0fDhdA7AFOcc//wDj1BqCu2zkvh5UUY4xBC3+/nnHPbwl9wzi0ws/vN7LQIyxJJKCVkIrGZB/zczHoTGse0CMgEil3T45mONnbQzP4KnAbsd841Noj+d8652fWOdQDOdM4dlxB4v4AbvU4j6n4pB0jMvwnhcX0F6AGc7pyrNbO9hFp8wuOqH9ulwPnAlcD/PZEu00auH36dYL1rBmm+PuYSWrz4yy1cr6nP0RIj1KLz1QjObXAN+zQLm+rqjZU7wfsjPJ77nHNP1yurroXsuOt72znez9XAvXjj0yJUBeAldpHWWRGhBHoGoUXm6/s58OMTiEEkYTSGTCQySwm1gAF8iVA3FM65cmAl8HtCLSEBr6Voh5l9AcBCTm3pAs65rzrnpjSRjDXldeCT8WBm1tQvvDeAb9T9YvMSyEiVEWoNqfMuoTrAzHKAQyfQOlZfD+CAl4xdDAxu7mQzSwOGOOcWAT8E+hLqogy3ERhrZqO8/S8Db0cZX3P+Qail9I2WTozSEuAiMxsBYGZZZjbGe63+d9KAc84R+g/CnXXHmrk/IrEQ+LqZdfHKGt7cfeS1xA1wzr1JqOVriJl90lLsQg+kfGRm13iHbiL276kC+Bxwt5ld3cjrLwHjCHWJi7QqSshEIvNt4KtmtpbQL467w16bS+iXfnhX2JeAW81sDaEutqt8ius7wFRvUPQG4I4mznuE0Ji4tV5MN57ANRYT6hZdbWbXExqfdoZXF78Ebo46+lD379lmto5Qwru1hfPTgWe8a38IzHbOlYWf4JyrINRF+aJXbhXwcAwxNso5V+Kc+1X91qc4lp8PfB14wfu87/FpIvEXYHH4oP4m3AlcEHZ/fC2GeF4EXgPeN7OPCY1f7NLMWzKAv3uxrwLub6SL9BuEuuLXEhrr9cNo4wuLswT4LPBTL8kPf80RumebTfxFksFC96eIiEjq8LpKH3HOxfzkpIWmvXjEOfda7JGJREctZCIikopqgEHe1B1RM7OXCD28cyIPOIjEnVrIRERERJJMLWQiIiIiSaaETERERCTJlJCJiIiIJJkSMhEREZEkU0ImIiIikmT/HwOLdA8hwboqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f975f4e4c10>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the ECDF\n",
    "cdf_fig = scoredata.ecdf()\n",
    "plt.axvline(x=1, color='k', linestyle='--') # Plot an additional line\n",
    "cdf_fig.set_size_inches(10, 6) # Figure can be resized\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the Statistic Object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: -1.03172711486\n",
      "Confidence bounds (95%): (-1.2393034301000947, -0.790601535373317)\n",
      "Histogram: \n",
      "                           25.5 %\n",
      "-1.34: \n",
      "-1.27: ###\n",
      "-1.20: ############\n",
      "-1.12: ####################\n",
      "-1.05: ##################\n",
      "-0.98: ###########\n",
      "-0.90: #######\n",
      "-0.83: ##\n",
      "-0.75: \n",
      "-0.68: \n",
      "\n"
     ]
    }
   ],
   "source": [
    "score_mean = scoredata.mean()\n",
    "print(score_mean) # Also overloaded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.0317271148632117\n"
     ]
    }
   ],
   "source": [
    "print(score_mean.mean) # Yes, the mean of the mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.7246971192354805\n"
     ]
    }
   ],
   "source": [
    "print(score_mean.get_percentile(99)) # The 99% of the mean (the highest expected mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-1.2393034301000947, -0.790601535373317)\n"
     ]
    }
   ],
   "source": [
    "print(score_mean.bounds) # 2.5% and 97.5% bounds (95% confidence interval)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: 0.0200408163265\n",
      "Confidence bounds (95%): (0.0, 0.061224489795918324)\n",
      "Histogram: \n",
      "                          38.7 %\n",
      "0.00: ##################\n",
      "0.01: \n",
      "0.02: ####################\n",
      "0.03: #########\n",
      "0.04: \n",
      "0.05: ##\n",
      "0.06: \n",
      "0.07: \n",
      "0.08: \n",
      "0.09: \n",
      "\n"
     ]
    }
   ],
   "source": [
    "score_prob_above_threshold = scoredata.prob_above(1.)\n",
    "print(score_prob_above_threshold) # Compare against the ECDF above at score = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.02004081632653061\n"
     ]
    }
   ],
   "source": [
    "print(score_prob_above_threshold.mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0.0, 0.061224489795918324)\n"
     ]
    }
   ],
   "source": [
    "print(score_prob_above_threshold.bounds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyze the Probability of all Scores Above Threshold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data from ../test/data/Crosswind_sweeps_monte_carlo_nightly_1531/overview_data.json.\n",
      "Done.\n",
      "Creating database ../test/data/1531/db.h5\n",
      "Done.\n",
      "Creating simulation data object...\n",
      "Loading file ../test/data/1531/db.h5\n",
      "Done.\n",
      "...done.\n",
      "Computing probabilities...\n",
      "Using 6 cores (out of 8).\n",
      "  10% completed.\n",
      "  20% completed.\n",
      "  30% completed.\n",
      "  40% completed.\n",
      "  50% completed.\n",
      "  60% completed.\n",
      "  70% completed.\n",
      "  80% completed.\n",
      "  90% completed.\n",
      "  100% completed.\n",
      "...done.\n",
      "Saving mean probability data to file ../test/data/1531/prob_mean.csv\n",
      "Saving probability lower bound data to file ../test/data/1531/prob_low.csv\n",
      "Saving probability higher bound data to file ../test/data/1531/prob_high.csv\n",
      "Done.\n"
     ]
    }
   ],
   "source": [
    "from score_prob import process_score_probabilities, plot_score_prob\n",
    "folderlist = ['../test/data/Crosswind_sweeps_monte_carlo_nightly_1531']\n",
    "output_folder = '../test/data/1531'\n",
    "score_thr = 0.999 # Not 1 so the torque ratio scores (which are exactly 100 when bad) get captured as bad.\n",
    "\n",
    "process_score_probabilities(folderlist, output_folder, score_thr, use_concurrency=True, ncores=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Wind speed [m/s]</th>\n",
       "      <th>1</th>\n",
       "      <th>3</th>\n",
       "      <th>5</th>\n",
       "      <th>7</th>\n",
       "      <th>9</th>\n",
       "      <th>11</th>\n",
       "      <th>13</th>\n",
       "      <th>15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Shear exponent 0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.019800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Shear exponent 0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>Shear exponent 0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Unnamed: 0  Wind speed [m/s]         1    3    5    7    9   11  \\\n",
       "NaN    Shear exponent 0               0.0  0.019800  0.0  0.0  0.0  0.0  0.0   \n",
       "NaN  Shear exponent 0.1               0.0  0.020959  0.0  0.0  0.0  0.0  0.0   \n",
       "NaN  Shear exponent 0.2               0.0  0.000000  0.0  0.0  0.0  0.0  0.0   \n",
       "\n",
       "      13  15  \n",
       "NaN  0.0 NaN  \n",
       "NaN  0.0 NaN  \n",
       "NaN  0.0 NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Have a quick peek at one of the tables in the CSV using pandas\n",
    "import pandas as pd\n",
    "pd.read_csv(\"../test/data/1531/prob_mean.csv\", nrows=3, header=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Probabilities Above Threshold for all Wind Speeds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data from ../test/data/Crosswind_sweeps_monte_carlo_nightly_1556/overview_data.json.\n",
      "Done.\n",
      "Creating database ../test/data/1556/db.h5\n",
      "Done.\n",
      "Creating simulation data object...\n",
      "Loading file ../test/data/1556/db.h5\n",
      "Done.\n",
      "...done.\n",
      "Score '-Crash- >5[m] payout Hover - PayOut Tether Elevation [deg]' has not been found. These are the closest:\n",
      "  1: '-Crash- >5[m] payout, Hover - PayOut Tether Elevation [deg]'\n",
      "  2: '-Crash- >5[m] payout, Hover - ReelIn Tether Elevation [deg]'\n",
      "  3: '-Crash- HoverTransformGsUp Tether Elevation [3] [deg]'\n",
      "  4: '-Crash- HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "  5: '-Crash- HoverTransformGsDown Tether Elevation [3] [deg]'\n",
      "Using '-Crash- >5[m] payout, Hover - PayOut Tether Elevation [deg]'.\n",
      "Score '-Crash- >5[m] payout Hover - ReelIn Tether Elevation [deg]' has not been found. These are the closest:\n",
      "  1: '-Crash- >5[m] payout, Hover - ReelIn Tether Elevation [deg]'\n",
      "  2: '-Crash- >5[m] payout, Hover - PayOut Tether Elevation [deg]'\n",
      "  3: '-Crash- HoverTransformGsUp Tether Elevation [3] [deg]'\n",
      "  4: '-Crash- HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "  5: '-Crash- HoverTransformGsDown Tether Elevation [3] [deg]'\n",
      "Using '-Crash- >5[m] payout, Hover - ReelIn Tether Elevation [deg]'.\n",
      "Score '-Crash- HoverTransformGsDown Tether Elevation [0 1 2] [deg]' has not been found. These are the closest:\n",
      "  1: '-Crash- HoverTransformGsDown Tether Elevation [0, 1, 2] [deg]'\n",
      "  2: '-Crash- HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "  3: '-Crash- HoverTransformGsDown Tether Elevation [3] [deg]'\n",
      "  4: '-Crash- HoverTransformGsUp Tether Elevation [1, 2] [deg]'\n",
      "  5: '-Crash- HoverTransformGsUp Tether Elevation [0, 4] [deg]'\n",
      "Using '-Crash- HoverTransformGsDown Tether Elevation [0, 1, 2] [deg]'.\n",
      "Score '-Crash- HoverTransformGsUp Tether Elevation [1 2] [deg]' has not been found. These are the closest:\n",
      "  1: '-Crash- HoverTransformGsUp Tether Elevation [1, 2] [deg]'\n",
      "  2: '-Crash- HoverTransformGsUp Tether Elevation [3] [deg]'\n",
      "  3: '-Crash- HoverTransformGsUp Tether Elevation [0, 4] [deg]'\n",
      "  4: '-Crash- HoverTransformGsDown Tether Elevation [0, 1, 2] [deg]'\n",
      "  5: '-Crash- HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "Using '-Crash- HoverTransformGsUp Tether Elevation [1, 2] [deg]'.\n",
      "Score '-Crash- HoverTransformGsUp Tether Elevation [0 4] [deg]' has not been found. These are the closest:\n",
      "  1: '-Crash- HoverTransformGsUp Tether Elevation [0, 4] [deg]'\n",
      "  2: '-Crash- HoverTransformGsUp Tether Elevation [3] [deg]'\n",
      "  3: '-Crash- HoverTransformGsUp Tether Elevation [1, 2] [deg]'\n",
      "  4: '-Crash- HoverTransformGsDown Tether Elevation [4] [deg]'\n",
      "  5: '-Crash- HoverTransformGsDown Tether Elevation [3] [deg]'\n",
      "Using '-Crash- HoverTransformGsUp Tether Elevation [0, 4] [deg]'.\n",
      "Computing probabilities...\n",
      "...done\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f97838b7c50>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get a plot of a subset of probabilties for all wind speeds and a specific wind shear\n",
    "folderlist = ['../test/data/Crosswind_sweeps_monte_carlo_nightly_1556']\n",
    "output_folder = '../test/data/1556'\n",
    "\n",
    "# Create database\n",
    "db_fn = os.path.join(output_folder,'db.h5')\n",
    "bsdi = BatchSimDataImporter(folderlist)\n",
    "bsdi.create_database(db_fn)\n",
    "\n",
    "# Create simdata object\n",
    "print('Creating simulation data object...')\n",
    "simdata = SimData(db_fn)\n",
    "print('...done.')\n",
    "        \n",
    "hover_crash_scores_of_interest = [\n",
    "    '-Crash- >5[m] payout Hover - PayOut Tether Elevation [deg]',\n",
    "    '-Crash- >5[m] payout Hover - ReelIn Tether Elevation [deg]',\n",
    "    '-Crash- HoverTransformGsDown Tether Elevation [3] [deg]',\n",
    "    '-Crash- HoverTransformGsDown Tether Elevation [0 1 2] [deg]',\n",
    "    '-Crash- HoverTransformGsUp Tether Elevation [1 2] [deg]',\n",
    "    '-Crash- HoverFullLength Tether Height AGL Min. [m]',\n",
    "    '-Crash- HoverTransformGsUp Tether Elevation [3] [deg]',\n",
    "    '-Crash- HoverTransformGsDown Tether Elevation [4] [deg]',\n",
    "    '-Crash- HoverTransformGsUp Tether Elevation [0 4] [deg]']\n",
    "\n",
    "fig_crash = plot_score_prob(simdata, hover_crash_scores_of_interest, wind_shear=0.1, score_thr=0.999)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare two batch sims"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating prior DB...\n",
      "Loading data from ../test/data/Crosswind_sweeps_monte_carlo_nightly_1524/overview_data.json.\n",
      "Done.\n",
      "Creating database ../test/data/compare_1524_1531/prior.h5\n",
      "Done.\n",
      "Loading file ../test/data/compare_1524_1531/prior.h5\n",
      "Done.\n",
      "...done.\n",
      "Creating post DB...\n",
      "Loading data from ../test/data/Crosswind_sweeps_monte_carlo_nightly_1531/overview_data.json.\n",
      "Done.\n",
      "Creating database ../test/data/compare_1524_1531/post.h5\n",
      "Done.\n",
      "Loading file ../test/data/compare_1524_1531/post.h5\n",
      "Done.\n",
      "...done.\n",
      "Using 6 cores (out of 8).\n",
      "Comparing simulations...\n",
      "  10% completed.\n",
      "  20% completed.\n",
      "  30% completed.\n",
      "  40% completed.\n",
      "  50% completed.\n",
      "  60% completed.\n",
      "  70% completed.\n",
      "  80% completed.\n",
      "  90% completed.\n",
      "  100% completed.\n",
      "...done.\n",
      "Writing file ../test/data/compare_1524_1531/comp.csv...\n",
      "...done.\n"
     ]
    }
   ],
   "source": [
    "from compare_simdata import compare_simulation_data\n",
    "output_folder = '../test/data/compare_1524_1531'\n",
    "\n",
    "print('Creating prior DB...')\n",
    "folderlist_prior = ['../test/data/Crosswind_sweeps_monte_carlo_nightly_1524']\n",
    "prior_db_fn = os.path.join(output_folder, 'prior.h5')\n",
    "BatchSimDataImporter(folderlist_prior).create_database(prior_db_fn)\n",
    "simdata_prior = SimData(prior_db_fn)\n",
    "print('...done.')\n",
    "\n",
    "print('Creating post DB...')\n",
    "folderlist_post = ['../test/data/Crosswind_sweeps_monte_carlo_nightly_1531']\n",
    "post_db_fn = os.path.join(output_folder, 'post.h5')\n",
    "BatchSimDataImporter(folderlist_post).create_database(post_db_fn)\n",
    "simdata_post = SimData(post_db_fn)\n",
    "print('...done.')\n",
    "\n",
    "score_thr = 0.999 # Not 1 so the torque ratio scores (which are exactly 100 when bad) get captured as bad.\n",
    "\n",
    "compare_simulation_data(simdata_prior, simdata_post, os.path.join(output_folder, 'comp.csv'), score_thr, use_concurrency=True, ncores=None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
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